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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 17827
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    Explanations

    numerical figures related to quantities and statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to various topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tension
    -0.68
    ilic
    -0.64
     wording
    -0.64
    veland
    -0.63
    amaru
    -0.63
    prep
    -0.63
     fest
    -0.61
     shenan
    -0.61
     brav
    -0.60
     disclaimer
    -0.60
    POSITIVE LOGITS
     million
    1.53
     billion
    1.35
     lakh
    1.32
    million
    1.25
     thousand
    1.25
     trillion
    1.18
     000
    1.17
     crore
    1.13
    billion
    1.13
    %
    1.12
    Activations Density 0.221%

    No Known Activations